{
  "data": {
    "a": {
      "slug": "prism-inference",
      "name": "Prism Inference",
      "vendor": "Prism Technologies Inc",
      "vendorUrl": "https://prisminference.com",
      "kind": "model",
      "category": "inference",
      "summary": "Prism is a hosted inference API from Prism Technologies Inc for open-weight models, aimed at coding agents. It accepts OpenAI Chat Completions, OpenAI Responses and Anthropic Messages requests at api.prisminference.com. It launched on 24 September 2026.",
      "url": "https://www.anchorterminal.com/tools/prism-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/prism-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prism-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prism-inference.json",
      "repo": "https://github.com/prismhq/hermes-prism-provider",
      "license": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.prisminference.com/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with a key issued from account settings after sign-up at prisminference.com/signup. The inference endpoints also accept the key in `x-api-key`. A missing, invalid, expired or revoked key returns 401. No key scopes were found in the reviewed documentation. An agent can call `POST https://prisminference.com/api/agent-signups` with the owner's email and a username and receive a key once, but that key can't run inference until the owner supplies a six-digit emailed code, and it expires after 30 days. `GET /v1/models` needs no key.",
      "pricing": "usage",
      "pricingNotes": "Prepaid per-token pricing with no minimum. DeepSeek-V4.1-Flash is $0.09 in, $1.20 out and $0.06 cache read per million tokens, and Gemma 4 31B is $0.30, $0.40 and $0.15 (https://prisminference.com/pricing, matched by https://api.prisminference.com/v1/models). No free tier or trial credit was found, and a workspace without credit gets 402. A person funds the workspace in a browser. Elastic endpoints, dedicated deployments and batch are sold through sales with no published price.",
      "priceSummary": "from $0.09 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in llms.txt, the docs index, the OpenAPI file or the pricing page, read 2026-10-08. The docs describe prepaid credit funded by a person in the browser.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.prisminference.com",
      "rateLimitsUrl": "https://docs.prisminference.com/rate-limits",
      "llmsTxt": "https://prisminference.com/llms.txt",
      "openapi": "https://docs.prisminference.com/openapi.yaml",
      "capabilities": [
        "inference.fast",
        "inference.open-weights",
        "inference.llm"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "fast",
        "usage-priced",
        "prepaid",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "zero-retention",
        "status-page",
        "new"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 60.1,
        "grade": "C",
        "agentReady": false,
        "rank": 528,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 13,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 49,
          "payments": 30,
          "reliability": 65,
          "schema": 82,
          "security": 65,
          "transparency": 61
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-08. The home page shows a '99.99% Uptime SLA' tile, and the pricing page says 'No minimums, no rate limits' above the per-token table. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit unless a separate written agreement says otherwise, and the docs describe per-key rate limits that return 429. No SLA document was found. A misleading claim, with the smallest deduction because the terms and docs state the real position (https://prisminference.com/, https://prisminference.com/pricing, https://prisminference.com/terms, https://docs.prisminference.com/rate-limits)."
        ],
        "verdict": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.",
        "bestFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.",
        "strengths": [
          "One key works across OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, with a public OpenAPI 3.1 file, llms.txt and Markdown docs",
          "Zero data retention is the default on every tier, and the privacy policy, terms and docs all say inputs and outputs are never used for training",
          "Every error carries a stable `code`, a `retryable` flag, a `fix` hint and a `docs_url`, and 429 carries `Retry-After` in seconds",
          "`GET /v1/models` answers without a key and returns context length, maximum output and per-token prices for each model",
          "DeepSeek-V4.1-Flash is listed with a 1M-token context and 384,000 output tokens at $0.09 in and $1.20 out per million"
        ],
        "weaknesses": [
          "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available",
          "No rate-limit numbers are published. The docs say per-key limits exist, and the pricing page says 'no rate limits'",
          "The home page shows a '99.99% Uptime SLA' tile, while the terms say there is no guaranteed uptime without a separate written agreement",
          "No free tier found. Billing is prepaid, a person funds the workspace in a browser, and the agent sign-up key needs an emailed code",
          "The service launched on 24 September 2026. The changelog has one entry, and no deprecation policy, sub-processor list or certification was found"
        ],
        "agentNotes": [
          "Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access",
          "Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients",
          "Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity",
          "Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output",
          "Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 60.1
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 49,
          "payments": 30,
          "reliability": 65,
          "schema": 82,
          "security": 65,
          "transparency": 43
        },
        "provenanceScore": 79
      },
      "connect": {
        "install": "pip install openai   # or: npm install openai, base URL https://api.prisminference.com/v1. Anthropic SDKs use https://api.prisminference.com with no /v1",
        "http": "curl \"https://api.prisminference.com/v1/chat/completions\" \\\n  -H \"Authorization: Bearer $PRISM_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"deepseek-v4.1-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Return pong.\"}]}'",
        "claudeCode": "export ANTHROPIC_BASE_URL=https://api.prisminference.com\nexport ANTHROPIC_AUTH_TOKEN=$PRISM_API_KEY\nexport ANTHROPIC_MODEL=deepseek-v4.1-flash\nexport ANTHROPIC_SMALL_FAST_MODEL=gemma-4-31b"
      },
      "letme": {
        "capability": "https://letme.dev/inference.fast",
        "tool": "https://letme.dev/prism-inference"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Prism Technologies Inc",
        "domain": "prisminference.com",
        "domainRegistered": "2026-09-09",
        "endpointOnVendorDomain": true,
        "terms": "https://prisminference.com/terms",
        "privacy": "https://prisminference.com/privacy",
        "statusPage": "https://status.prisminference.com",
        "changelog": "https://docs.prisminference.com/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-08",
        "notes": [
          "The terms and the privacy policy, both last updated 9 September 2026, name Prism Technologies Inc. The terms are governed by California law with arbitration in San Francisco.",
          "RDAP gives a registration date of 2026-09-09 for prisminference.com, with Name.com as registrar.",
          "security.txt has a Contact line (founders@prisminference.com), an Expires date of 2027-10-06 and a Canonical line. No disclosure policy or bug bounty is named.",
          "The status page runs on incident.io with one component for each model and no component for the API or the website. Its incidents feed was empty on 8 October 2026.",
          "The YC directory lists Prism in the Spring 2025 batch, in San Francisco, with a team of 2. The home page links an X account named prism_videos, from the company's earlier video product."
        ],
        "score": 79
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/prism-inference.json",
      "live": {
        "slug": "prism-inference",
        "probe": {
          "target": "https://api.prisminference.com/v1",
          "method": "get",
          "lastAt": "2026-10-10T03:53:38.88869645Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 135,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 149,
          "p95ms24h": 453,
          "samples24h": 249,
          "samples30d": 383,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 93,
              "ok": 93
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 40,
              "ok": 40
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.prisminference.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-10T03:58:43.387345562Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "prismhq/hermes-prism-provider",
            "version": "v1.0.2",
            "released": "2026-09-16",
            "seenAt": "2026-10-09T17:14:33.431257688Z"
          }
        ],
        "githubStars": 0,
        "securityTxt": {
          "url": "https://prisminference.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-06T00:00:00.000Z",
          "checkedAt": "2026-10-09T15:40:35.003140299Z"
        },
        "llmsTxt": {
          "url": "https://prisminference.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:02:37.937240222Z"
        },
        "pages": [
          {
            "url": "https://docs.prisminference.com/changelog",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-09T18:38:03.252133069Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "184a0fafdb8c"
          },
          {
            "url": "https://prisminference.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:43:52.542857787Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dffb5d16a3c8"
          },
          {
            "url": "https://prisminference.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:43:54.77090078Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "64ea7b8f1b7b"
          },
          {
            "url": "https://prisminference.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-09T18:43:56.713185583Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "27dd15c69f49"
          }
        ],
        "updatedAt": "2026-10-10T03:58:43.387345562Z"
      }
    },
    "answer": "Prism Inference scores 60.1 (C) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing.",
    "b": {
      "slug": "siliconflow",
      "name": "SiliconFlow",
      "vendor": "SiliconFlow Labs Pte. Ltd.",
      "vendorUrl": "https://www.siliconflow.com",
      "kind": "model",
      "category": "inference",
      "summary": "SiliconFlow is a hosted inference API for open-weight models, covering chat, vision, embeddings, reranking, image, video and speech. It answers OpenAI-style and Anthropic-style calls at api.siliconflow.com with a Bearer key.",
      "url": "https://www.anchorterminal.com/tools/siliconflow",
      "markdownUrl": "https://www.anchorterminal.com/tools/siliconflow.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/siliconflow.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/siliconflow.json",
      "license": "Proprietary service under the SiliconFlow Terms of Use",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.siliconflow.com/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "Self-serve Bearer key from the console at https://cloud.siliconflow.com/account/ak after a browser sign-up with a Google or GitHub account. The Anthropic-style `/messages` route also takes the key in `x-api-key`. No scopes, expiry or per-key limits are documented, and rate limits apply to the account, not the key. The error page says some models answer 403 until real-name authentication is done.",
      "pricing": "usage",
      "pricingNotes": "Pay per token, image, video or byte of speech text, with $1 in free credits for a new account. Whether a card is needed to claim the credit was not established. DeepSeek-V4.1-Flash costs $0.15 in, $0.003 cached and $0.60 out per 1M tokens. The FAQ says monthly spending limits can be set in the dashboard (https://www.siliconflow.com/pricing, checked 2026-10-09).",
      "priceSummary": "from $0.15 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI file or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://docs.siliconflow.com/en/userguide/quickstart",
      "rateLimitsUrl": "https://docs.siliconflow.com/cn/userguide/rate-limits/rate-limit-and-upgradation",
      "llmsTxt": "https://docs.siliconflow.com/llms.txt",
      "openapi": "https://docs.siliconflow.com/cn/api-reference/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "embed.text",
        "rerank",
        "image.generate",
        "video.generate",
        "speech.tts",
        "speech.stt"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "usage-based",
        "free-credit",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "singapore"
      ],
      "lastRelease": "2026-09-14",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 46.7,
        "grade": "D",
        "agentReady": false,
        "rank": 848,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 17,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 60,
          "maintenance": 47,
          "payments": 35,
          "reliability": 33,
          "schema": 65,
          "security": 39,
          "transparency": 51
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice.",
        "bestFor": "Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.",
        "strengths": [
          "Per-token, per-image and per-video prices are public for every listed model, such as DeepSeek-V4.1-Flash at $0.15 in and $0.60 out per 1M tokens",
          "One Bearer key reaches 22 operations in a public OpenAPI 3.0 file, with OpenAI-style `/chat/completions` and Anthropic-style `/messages`",
          "`llms.txt` and a Markdown copy of every docs page, in English and Chinese",
          "Rate limits are published by spend tier, from 1,000 requests and 40,000 tokens a minute at L0 to 10,000 and 2,000,000 at L5",
          "The terms say SiliconFlow will not access Interaction Data, has no obligation to store it, and uses it only to supply the service"
        ],
        "weaknesses": [
          "No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment",
          "Release notes stop at 11 June 2026. Six notices from December 2025 to June 2026 give a removal date equal to the notice date",
          "The Terms of Use of 9 September 2026 forbid use for any commercial purposes, scraping tools and benchmarking. This matters before any probe is run",
          "The OpenAPI model list and the function calling guide name models already removed, and omit every model added since July 2026",
          "No security.txt, disclosure policy, certification, DPA or sub-processor list was found, and no official SDK is published"
        ],
        "agentNotes": [
          "Set the OpenAI client's base URL to `https://api.siliconflow.com/v1`, or the Anthropic client's to `https://api.siliconflow.com/`, and send the key as a Bearer token",
          "Take model ids from the model pages or `GET /v1/models`, not from the OpenAPI enum or the function calling guide, which list removed models",
          "Check the `model` field of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models",
          "Use `response_format` of `json_object` only where the model page says JSON Mode is supported, and keep `max_tokens` about 10,000 below the context length",
          "Set the Claude Code environment variables by hand. The automated route pipes a script from an Amazon S3 bucket into bash"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 46.7
          }
        ],
        "editorialScores": {
          "ergonomics": 60,
          "maintenance": 47,
          "payments": 35,
          "reliability": 33,
          "schema": 65,
          "security": 39,
          "transparency": 34
        },
        "provenanceScore": 68
      },
      "connect": {
        "install": "pip install --upgrade openai",
        "http": "curl --request POST \\\n  --url https://api.siliconflow.com/v1/chat/completions \\\n  --header 'authorization: Bearer $SILICONFLOW_API_KEY' \\\n  --header 'content-type: application/json' \\\n  --data '{\"model\":\"deepseek-ai/DeepSeek-V4.1-Flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}],\"max_tokens\":128}'",
        "claudeCode": "export ANTHROPIC_BASE_URL=\"https://api.siliconflow.com/\"\nexport ANTHROPIC_MODEL=\"your-preferred-model\"\nexport ANTHROPIC_API_KEY=\"sk-your-api-key-here\""
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/siliconflow"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Z-Image-Turbo, one image",
          "unit": "image",
          "usd": 0.005
        },
        {
          "item": "FLUX.1-dev, one image",
          "unit": "image",
          "usd": 0.014
        },
        {
          "item": "FLUX 1.1 [pro], one image",
          "unit": "image",
          "usd": 0.04
        },
        {
          "item": "Wan2.2-T2V-A14B, one video",
          "unit": "call",
          "usd": 0.29,
          "note": "Priced per video generated"
        }
      ],
      "provenance": {
        "legalEntity": "SiliconFlow Labs Pte. Ltd.",
        "domain": "siliconflow.com",
        "domainRegistered": "2019-02-14",
        "endpointOnVendorDomain": true,
        "terms": "https://docs.siliconflow.com/en/legals/terms-of-service",
        "privacy": "https://docs.siliconflow.com/en/legals/privacy-policy",
        "statusPage": "",
        "changelog": "https://docs.siliconflow.com/en/release-notes/overview",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "The Terms of Use, updated 9 September 2026, name SILICONFLOW LABS PTE. LTD., apply Singapore law and set SIAC arbitration in Singapore. They govern the platform in its web, API and mobile versions, and no separate API agreement was found.",
          "The Privacy Policy, updated 9 September 2026, names the same entity and cites Singapore's Personal Data Protection Act 2012. It keeps square brackets around several values, such as [Stripe] and [Google and GitHub].",
          "No status page is linked from the site, the docs index or the pages read.",
          "https://www.siliconflow.com/.well-known/security.txt answered 404.",
          "RDAP for siliconflow.com gives a registration date of 2019-02-14.",
          "The API answers at api.siliconflow.com, the docs at docs.siliconflow.com and the console at cloud.siliconflow.com. The terms point users in mainland China to siliconflow.cn.",
          "No SLA, DPA or sub-processor list was found."
        ],
        "score": 68
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/siliconflow.json",
      "live": {
        "slug": "siliconflow",
        "probe": {
          "target": "https://api.siliconflow.com/v1",
          "method": "get",
          "lastAt": "2026-10-10T03:53:43.837862039Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 271,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 268,
          "p95ms24h": 377,
          "samples24h": 125,
          "samples30d": 125,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 85,
              "ok": 85
            },
            {
              "date": "2026-10-10",
              "probes": 40,
              "ok": 40
            }
          ]
        },
        "pages": [
          {
            "url": "https://docs.siliconflow.com/en/release-notes/overview",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-09T18:38:22.595479943Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "020d6d5c5cb2"
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            "status": 200,
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        "updatedAt": "2026-10-10T03:53:43.837862039Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Prism Technologies Inc",
        "b": "SiliconFlow Labs Pte. Ltd.",
        "name": "Vendor"
      },
      {
        "a": "https://api.prisminference.com/v1",
        "b": "https://api.siliconflow.com/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
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      {
        "a": "API key",
        "b": "API key",
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        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file",
        "b": "Proprietary service under the SiliconFlow Terms of Use",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
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      {
        "a": "2026-10-06",
        "b": "2026-09-14",
        "name": "Last release"
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        "a": "2026-09-09",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-09",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      }
    ],
    "faq": [
      {
        "answer": "Prism Inference scores 60.1 (C) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, Prism Inference or SiliconFlow?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Prism Inference and SiliconFlow need an API key?"
      },
      {
        "answer": "Yes. Prism Inference has a hosted endpoint at https://api.prisminference.com/v1 and SiliconFlow at https://api.siliconflow.com/v1.",
        "question": "Can an agent call Prism Inference and SiliconFlow without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 65 against 33",
          "Schema \u0026 documentation, 82 against 65",
          "Agent ergonomics, 68 against 60",
          "Security \u0026 auth, 65 against 39",
          "Transparency \u0026 trust, 61 against 51"
        ],
        "also": null,
        "goodFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.",
        "slug": "prism-inference",
        "watchFor": "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available"
      },
      {
        "aheadOn": [
          "Payments \u0026 pricing, 35 against 30"
        ],
        "also": null,
        "goodFor": "Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.",
        "slug": "siliconflow",
        "watchFor": "No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment"
      }
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      "name": "LLM inference"
    },
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      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow.json",
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      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference.json",
        "title": "Antseed vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference"
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      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-siliconflow.json",
        "title": "Antseed vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.json",
        "title": "BlockRun.AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.json",
        "title": "BlockRun.AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference.json",
        "title": "Cloudflare AI Gateway vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-siliconflow.json",
        "title": "Cloudflare AI Gateway vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.json",
        "title": "Cloudflare Workers AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow.json",
        "title": "Cloudflare Workers AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.json",
        "title": "Cohere Chat API (Command models) vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow.json",
        "title": "Cohere Chat API (Command models) vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.json",
        "title": "DeepInfra vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow.json",
        "title": "DeepInfra vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.json",
        "title": "DeepSeek API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-siliconflow.json",
        "title": "DeepSeek API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.json",
        "title": "Gemini Developer API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow.json",
        "title": "Gemini Developer API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-prism-inference.json",
        "title": "GroqCloud vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/groq-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-siliconflow.json",
        "title": "GroqCloud vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/groq-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.json",
        "title": "Mistral AI API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow.json",
        "title": "Mistral AI API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.json",
        "title": "Novita AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-siliconflow.json",
        "title": "Novita AI vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.json",
        "title": "OpenAI API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-siliconflow.json",
        "title": "OpenAI API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.json",
        "title": "OpenRouter vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-siliconflow.json",
        "title": "OpenRouter vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-siliconflow.json",
        "title": "SambaCloud vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.json",
        "title": "Prism Inference vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova"
      }
    ],
    "scores": [
      {
        "by": 32,
        "edge": "prism-inference",
        "key": "reliability",
        "name": "Reliability",
        "prism-inference": 65,
        "siliconflow": 33,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 17,
        "edge": "prism-inference",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "prism-inference": 82,
        "siliconflow": 65,
        "weight": 13
      },
      {
        "by": 8,
        "edge": "prism-inference",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "prism-inference": 68,
        "siliconflow": 60,
        "weight": 13
      },
      {
        "by": 26,
        "edge": "prism-inference",
        "key": "security",
        "name": "Security \u0026 auth",
        "prism-inference": 65,
        "siliconflow": 39,
        "weight": 14
      },
      {
        "by": 5,
        "edge": "siliconflow",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "prism-inference": 30,
        "siliconflow": 35,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 2,
        "edge": "prism-inference",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "prism-inference": 49,
        "siliconflow": 47,
        "weight": 7
      },
      {
        "by": 10,
        "edge": "prism-inference",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "prism-inference": 61,
        "siliconflow": 51,
        "weight": 7
      }
    ],
    "summary": "Prism Inference scores 60.1 (C) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing. Both do llm inference.",
    "verdicts": {
      "prism-inference": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.",
      "siliconflow": "Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice."
    }
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  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow",
    "json": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.md",
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  "markdown": "Prism Inference scores 60.1 (C) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing. Both do llm inference.\n\n- Prism Inference: grade C, 60.1/100, rank #528 of 950. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n- SiliconFlow: grade D, 46.7/100, rank #848 of 950. Markdown https://www.anchorterminal.com/tools/siliconflow.md · JSON https://www.anchorterminal.com/api/v1/tools/siliconflow.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 136 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Prism Inference (C)\n\nGood for: Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.\n\nAhead on:\n- Reliability, 65 against 33\n- Schema \u0026 documentation, 82 against 65\n- Agent ergonomics, 68 against 60\n- Security \u0026 auth, 65 against 39\n- Transparency \u0026 trust, 61 against 51\n\nWatch for: Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available\n\n### SiliconFlow (D)\n\nGood for: Agents that want recent open-weight chat models, plus image, video and speech, behind one OpenAI-style key at low per-token prices, and can live without a status page or SLA.\n\nAhead on:\n- Payments \u0026 pricing, 35 against 30\n\nWatch for: No status page, incident history or SLA was found, and the terms disclaim any uptime or availability commitment\n\n\n## Score by category\n\n| Category | Weight | Prism Inference | SiliconFlow | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 33 | Prism Inference +32 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 65 | Prism Inference +17 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 60 | Prism Inference +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 39 | Prism Inference +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 35 | SiliconFlow +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 49 | 47 | Prism Inference +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 51 | Prism Inference +10 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **60.1 · C** | **46.7 · D** | |\n\n## Facts side by side\n\n| Fact | Prism Inference | SiliconFlow |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Prism Technologies Inc | SiliconFlow Labs Pte. Ltd. |\n| Hosted endpoint | `https://api.prisminference.com/v1` | `https://api.siliconflow.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file | Proprietary service under the SiliconFlow Terms of Use |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-06 | 2026-09-14 |\n| Terms last updated | 2026-09-09 | no date given |\n| Privacy policy last updated | 2026-09-09 | no date given |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | yes |\n\n## Verdicts\n\n**Prism Inference.** Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.\n\n**SiliconFlow.** Per-token prices for every listed model are public, and one key reaches chat, embeddings, reranking, image, video and speech through OpenAI-style and Anthropic-style routes. No status page, SLA, security page or official SDK was found, release notes stop at 11 June 2026, and several model removals are dated the same day as their notice.\n\n## Before you call either\n\n### Prism Inference\n\n1. Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access\n2. Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients\n3. Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity\n4. Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output\n5. Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported\n\n### SiliconFlow\n\n1. Set the OpenAI client's base URL to `https://api.siliconflow.com/v1`, or the Anthropic client's to `https://api.siliconflow.com/`, and send the key as a Bearer token\n2. Take model ids from the model pages or `GET /v1/models`, not from the OpenAPI enum or the function calling guide, which list removed models\n3. Check the `model` field of each response. On 11 June 2026 traffic for GLM-5 and Kimi-K2.5 was routed to successor models\n4. Use `response_format` of `json_object` only where the model page says JSON Mode is supported, and keep `max_tokens` about 10,000 below the context length\n5. Set the Claude Code environment variables by hand. The automated route pipes a script from an Amazon S3 bucket into bash\n\n## Questions\n\n### Which is better for AI agents, Prism Inference or SiliconFlow?\n\nPrism Inference scores 60.1 (C) on agent readiness against SiliconFlow's 46.7 (D), and leads in 6 of 7 scored categories. SiliconFlow leads on payments \u0026 pricing.\n\n### Do Prism Inference and SiliconFlow need an API key?\n\nBoth need an API key.\n\n### Can an agent call Prism Inference and SiliconFlow without installing anything?\n\nYes. Prism Inference has a hosted endpoint at https://api.prisminference.com/v1 and SiliconFlow at https://api.siliconflow.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.json, and with the fewest tokens: https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"prism-inference\", \"b\": \"siliconflow\"}`. From a terminal: `anchor compare prism-inference siliconflow`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/prism-inference.json and https://www.anchorterminal.com/api/v1/tools/siliconflow.json\n\n## Other comparisons with Prism Inference or SiliconFlow\n\n- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Claude API vs SiliconFlow](https://www.anchorterminal.com/compare/anthropic-api-vs-siliconflow.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.md)\n- [Antseed vs SiliconFlow](https://www.anchorterminal.com/compare/antseed-vs-siliconflow.md)\n- [BlockRun.AI vs Prism Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md)\n- [BlockRun.AI vs SiliconFlow](https://www.anchorterminal.com/compare/blockrun-ai-vs-siliconflow.md)\n- [Cloudflare AI Gateway vs Prism Inference](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference.md)\n- [Cloudflare AI Gateway vs SiliconFlow](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-siliconflow.md)\n- [Cloudflare Workers AI vs Prism Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.md)\n- [Cloudflare Workers AI vs SiliconFlow](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow.md)\n- [Cohere Chat API (Command models) vs Prism Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.md)\n- [Cohere Chat API (Command models) vs SiliconFlow](https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow.md)\n- [DeepInfra vs Prism Inference](https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.md)\n- [DeepInfra vs SiliconFlow](https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow.md)\n- [DeepSeek API vs Prism Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.md)\n- [DeepSeek API vs SiliconFlow](https://www.anchorterminal.com/compare/deepseek-api-vs-siliconflow.md)\n- [Gemini Developer API vs Prism Inference](https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.md)\n- [Gemini Developer API vs SiliconFlow](https://www.anchorterminal.com/compare/gemini-api-vs-siliconflow.md)\n- [GroqCloud vs Prism Inference](https://www.anchorterminal.com/compare/groq-vs-prism-inference.md)\n- [GroqCloud vs SiliconFlow](https://www.anchorterminal.com/compare/groq-vs-siliconflow.md)\n- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [Mistral AI API vs SiliconFlow](https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow.md)\n- [Novita AI vs Prism Inference](https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.md)\n- [Novita AI vs SiliconFlow](https://www.anchorterminal.com/compare/novita-ai-vs-siliconflow.md)\n- [OpenAI API vs Prism Inference](https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.md)\n- [OpenAI API vs SiliconFlow](https://www.anchorterminal.com/compare/openai-api-vs-siliconflow.md)\n- [OpenRouter vs Prism Inference](https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.md)\n- [OpenRouter vs SiliconFlow](https://www.anchorterminal.com/compare/openrouter-vs-siliconflow.md)\n- [SambaCloud vs SiliconFlow](https://www.anchorterminal.com/compare/sambanova-vs-siliconflow.md)\n- [Prism Inference vs SambaCloud](https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.md)\n",
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